diff --git a/README.md b/README.md
index 296966cca..9fa965111 100644
--- a/README.md
+++ b/README.md
@@ -148,10 +148,11 @@ Powered by 100+ LLMs (OpenAI, Anthropic, Gemini & local models).
+
-View all 24 providers with examples
+View all 25 providers with examples
| Provider | Example |
|----------|:-------:|
@@ -179,6 +180,7 @@ Powered by 100+ LLMs (OpenAI, Anthropic, Gemini & local models).
| SageMaker | [Example](examples/python/providers/sagemaker/sagemaker_example.py) |
| Moonshot | [Example](examples/python/providers/moonshot/moonshot_example.py) |
| vLLM | [Example](examples/python/providers/vllm/vllm_example.py) |
+| Atlas Cloud | [Example](examples/python/providers/atlascloud/atlascloud_example.py) |
diff --git a/examples/python/providers/atlascloud/atlascloud_example.py b/examples/python/providers/atlascloud/atlascloud_example.py
new file mode 100644
index 000000000..657bf9196
--- /dev/null
+++ b/examples/python/providers/atlascloud/atlascloud_example.py
@@ -0,0 +1,56 @@
+"""
+Basic example of using Atlas Cloud with PraisonAI
+
+Atlas Cloud (https://atlascloud.ai) is an OpenAI-compatible API gateway that
+exposes 300+ models (DeepSeek, Llama, Qwen, and more) behind a single endpoint.
+
+Because the endpoint is OpenAI-compatible, you can use it with PraisonAI by
+passing an ``llm`` dict that points ``api_base`` at the Atlas Cloud endpoint.
+
+Setup:
+ export OPENAI_API_KEY= # e.g. apikey-xxxxxxxx
+ # or pass api_key="..." directly in the llm dict below
+
+Find available model ids at https://api.atlascloud.ai/v1/models
+"""
+
+import os
+
+from praisonaiagents import Agent
+
+# Initialize Agent with Atlas Cloud (OpenAI-compatible endpoint)
+agent = Agent(
+ instructions="You are a helpful assistant",
+ llm={
+ # Prefix with "openai/" so LiteLLM routes through the OpenAI-compatible path
+ "model": "openai/deepseek-ai/deepseek-v4-pro",
+ "api_base": "https://api.atlascloud.ai/v1",
+ "api_key": os.environ.get("OPENAI_API_KEY"), # your Atlas Cloud key
+ },
+)
+
+# Example conversation
+response = agent.start("Hello! Can you help me with a mathematical problem?")
+
+# Example with mathematical reasoning
+math_task = """
+Solve this calculus problem step by step:
+Find the derivative of f(x) = x^3 * e^(2x) using the product rule.
+"""
+
+response = agent.start(math_task)
+
+# Example with code optimization
+code_task = """
+Optimize this Python function for better performance:
+
+def find_duplicates(arr):
+ duplicates = []
+ for i in range(len(arr)):
+ for j in range(i+1, len(arr)):
+ if arr[i] == arr[j] and arr[i] not in duplicates:
+ duplicates.append(arr[i])
+ return duplicates
+"""
+
+response = agent.start(code_task)